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Description
The dataset collected for selected Central Eastern European (CEE) countries (CZE, EST, HUN, LVA, LTU, POL, SVK, SVN) contains country-level and sector-level observations for the project implementation linked to the concept of functional specialization of economies.
The aim of the project is to identify patterns of functional specialisation in global value chains (GVC) and determinants of upgrading it for selected CEE countries.
Functional specialisation index (rca_fsi) which provides a basis for the construction of dependent binary variable (fsi) in analysed models is obtained with the aid of an online appendix with replication files and the Matlab codes provided by Timmer et al. (2019).
The dataset contains Stata format files.
The results confirm that the higher labour productivity, labour compensation, skills and backward linkages are, the greater the probability is of climbing up the smile curve in management tasks and R&D activities. Upgrading functional specialisation in marketing tasks is supported by strong GVC linkages and may occur when wages are rising.
Marcel P Timmer, Sébastien Miroudot, Gaaitzen J de Vries, Functional specialisation in trade [dataset/supplementary data], Journal of Economic Geography, Volume 19, Issue 1, January 2019, Pages 1–30, https://doi.org/10.1093/jeg/lby056
Dataset file
hexmd5(md5(part1)+md5(part2)+...)-{parts_count} where a single part of the file is 512 MB in size.Example script for calculation:
https://github.com/antespi/s3md5
File details
- License:
-
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CC BY-NCNon-commercial
Details
- Year of publication:
- 2020
- Verification date:
- 2020-12-17
- Creation date:
- 2020
- Dataset language:
- English
- Fields of science:
-
- economics and finance (Social studies)
- DOI:
- DOI ID 10.34808/hzrt-aq62 open in new tab
- Verified by:
- Gdańsk University of Technology
Keywords
- functional specialisation
- global value chains
- economic upgrading
- CEE
- occupation
- input-output tables
- probit model
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